Abstract
This paper explains the principle and method to calibrate the image plane center of the camera by use of laser in the pre-calibrate process of the intrinsic parameters of the visual sensor. The laser facula image has been disposed properly, so the accurate position has been located by calculating the center of mass. Consequently, the image plane center can be calibrated accurately. After the calibration, the guiding experiments show that the precision of the system is quite good which proves that camera calibrated by the method presented by this paper can satisfy the requirement of the whole system
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References
Abhijit Nagchaudhuri, Sastry Kuruganty, Asif Shakur. Introduction of mechatronics concepts in a robotics course using an industrial SCARA robot equipped with a vision sensor. Mechatronics 12(2002): 183–193
Juyang Weng, et al. Camera calibration with distortion models and accuracy evalution. IEEE Trans. on PAMI 1992, 14(10)
Reinar K L, et al. Techniques of calibration of the scale factor and image center for high accuracy 3-D machine vision metrology. IEEE Trans. On PAMI 1988, 10(5)
Roger Y T. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV camera and lenses. [J]. IEEE Journal of Automation:, 1987, RA-3(4).
Moumen Ahemed, Aly Farag. A neural approach to zoom-lens camera calibration from data with outliers. Image and Vision Computing, 20(2002): 619–630
Cai Zixing. Robotic theory. Tsinghua University Press. 2000
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© 2007 Springer-Verlag Berlin Heidelberg
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Liu, F. (2007). Research on the Laser Calibration Method for the Image Plane Center of the Visual Sensor. In: Tarn, TJ., Chen, SB., Zhou, C. (eds) Robotic Welding, Intelligence and Automation. Lecture Notes in Control and Information Sciences, vol 362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73374-4_35
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DOI: https://doi.org/10.1007/978-3-540-73374-4_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73373-7
Online ISBN: 978-3-540-73374-4
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